Prediction of blast-induced air overpressure using a hybrid machine learning model and gene expression programming (GEP): A case study from an iron ore mine

Prediction of blast-induced air overpressure using a hybrid machine learning model and gene expression programming (GEP): A case study from an iron ore mine

Mine blasting can have a destructive effect on the environment. Among these effects, air overpressure (AOp) is a major concern. Therefore, a careful assessment of the AOp intensity should be conducted before any blasting operation in order to minimize the associated environmental detriment. Several...

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Bibliographic Details
Main Authors: Mohammad Mirzehi Kalateh Kazemi, Zohreh Nabavi, Manoj Khandelwal
Format: Article
Language:English
Published: AIMS Press 2023-05-01
Series:AIMS Geosciences
Subjects:
blasting
air overpressure (aop)
grey wolf optimization (gwo)
extreme gradient boosting (xgb)
hybrid model
environmental impacts
Online Access:https://www.aimspress.com/article/doi/10.3934/geosci.2023019?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/geosci.2023019?viewType=HTML

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